An object that confirms to GestureRecognizerLiveStreamDelegate protocol. This object must
implement gestureRecognizer(_:didFinishRecognitionWithResult:timestampInMilliseconds:error:) to
receive the results of performing asynchronous gesture recognition on images (i.e, when
runningMode = .liveStream).
Sets the optional ClassifierOptions controlling the canned gestures classifier, such as score
threshold, allow list and deny list of gestures. The categories for canned gesture classifiers
are: [“None”, “Closed_Fist”, “Open_Palm”, “Pointing_Up”, “Thumb_Down”, “Thumb_Up”, “Victory”,
“ILoveYou”].
TODO: Note this option is subject to change, after scoring merging calculator is implemented.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-08 UTC."],[],[],null,["# MediaPipeTasksVision Framework Reference\n\nGestureRecognizerOptions\n========================\n\n class GestureRecognizerOptions : ../Classes/TaskOptions.html, NSCopying\n\nOptions for setting up a [GestureRecognizer](../Classes/GestureRecognizer.html).\n- `\n ``\n ``\n `\n\n ### [runningMode](#/c:objc(cs)MPPGestureRecognizerOptions(py)runningMode)\n\n `\n ` \n Running mode of the gesture recognizer task. Defaults to `.video`.\n [GestureRecognizer](../Classes/GestureRecognizer.html) can be created with one of the following running modes:\n 1. [image](../Constants.html#/c:MPPImage.h@MPPImageSourceTypeImage): The mode for performing gesture recognition on single image inputs.\n 2. `video`: The mode for performing gesture recognition on the decoded frames of a video.\n 3. `liveStream`: The mode for performing gesture recognition on a live stream of input data, such as from the camera. \n\n #### Declaration\n\n Swift \n\n var runningMode: ../Enums/RunningMode.html { get set }\n\n- `\n ``\n ``\n `\n\n ### [gestureRecognizerLiveStreamDelegate](#/c:objc(cs)MPPGestureRecognizerOptions(py)gestureRecognizerLiveStreamDelegate)\n\n `\n ` \n An object that confirms to [GestureRecognizerLiveStreamDelegate](../Protocols/GestureRecognizerLiveStreamDelegate.html) protocol. This object must\n implement `gestureRecognizer(_:didFinishRecognitionWithResult:timestampInMilliseconds:error:)` to\n receive the results of performing asynchronous gesture recognition on images (i.e, when\n [runningMode](../Classes/GestureRecognizerOptions.html#/c:objc(cs)MPPGestureRecognizerOptions(py)runningMode) = `.liveStream`). \n\n #### Declaration\n\n Swift \n\n weak var gestureRecognizerLiveStreamDelegate: ../Protocols/GestureRecognizerLiveStreamDelegate.html? { get set }\n\n- `\n ``\n ``\n `\n\n ### [numHands](#/c:objc(cs)MPPGestureRecognizerOptions(py)numHands)\n\n `\n ` \n Sets the maximum number of hands can be detected by the GestureRecognizer. \n\n #### Declaration\n\n Swift \n\n var numHands: Int { get set }\n\n- `\n ``\n ``\n `\n\n ### [minHandDetectionConfidence](#/c:objc(cs)MPPGestureRecognizerOptions(py)minHandDetectionConfidence)\n\n `\n ` \n Sets minimum confidence score for the hand detection to be considered successful \n\n #### Declaration\n\n Swift \n\n var minHandDetectionConfidence: Float { get set }\n\n- `\n ``\n ``\n `\n\n ### [minHandPresenceConfidence](#/c:objc(cs)MPPGestureRecognizerOptions(py)minHandPresenceConfidence)\n\n `\n ` \n Sets minimum confidence score of hand presence score in the hand landmark detection. \n\n #### Declaration\n\n Swift \n\n var minHandPresenceConfidence: Float { get set }\n\n- `\n ``\n ``\n `\n\n ### [minTrackingConfidence](#/c:objc(cs)MPPGestureRecognizerOptions(py)minTrackingConfidence)\n\n `\n ` \n Sets the minimum confidence score for the hand tracking to be considered successful. \n\n #### Declaration\n\n Swift \n\n var minTrackingConfidence: Float { get set }\n\n- `\n ``\n ``\n `\n\n ### [cannedGesturesClassifierOptions](#/c:objc(cs)MPPGestureRecognizerOptions(py)cannedGesturesClassifierOptions)\n\n `\n ` \n Sets the optional [ClassifierOptions](../Classes/ClassifierOptions.html) controlling the canned gestures classifier, such as score\n threshold, allow list and deny list of gestures. The categories for canned gesture classifiers\n are: \\[\"None\", \"Closed_Fist\", \"Open_Palm\", \"Pointing_Up\", \"Thumb_Down\", \"Thumb_Up\", \"Victory\",\n \"ILoveYou\"\\].\n\n TODO: Note this option is subject to change, after scoring merging calculator is implemented. \n\n #### Declaration\n\n Swift \n\n @NSCopying var cannedGesturesClassifierOptions: ../Classes/ClassifierOptions.html? { get set }\n\n- `\n ``\n ``\n `\n\n ### [customGesturesClassifierOptions](#/c:objc(cs)MPPGestureRecognizerOptions(py)customGesturesClassifierOptions)\n\n `\n ` \n Sets the optional [ClassifierOptions](../Classes/ClassifierOptions.html) controlling the custom gestures classifier, such as score\n threshold, allow list and deny list of gestures.\n\n TODO: Note this option is subject to change, after scoring merging calculator is implemented. \n\n #### Declaration\n\n Swift \n\n @NSCopying var customGesturesClassifierOptions: ../Classes/ClassifierOptions.html? { get set }"]]